Renma Sugawara
Papers
1
Total Citations
2
H-Index
1
About
Renma Sugawara is a researcher in robotics and human-robot interaction, with a focus on enabling autonomous robots to operate safely and intelligently in human-centered environments. Their key research areas include human motion analysis, behavior pattern estimation, and the development of motion maps for robotic perception. Sugawara’s most notable contribution is the introduction of a similarity-based human motion map, which allows robots to extract walking characteristics and estimate behavior patterns from observed human movement. This work, published in 2015, has garnered 2 citations and lays foundational groundwork for robots to autonomously decide their actions based on real-time human motion estimation—a critical step toward seamless human-robot coexistence. By bridging the gap between raw sensor data and actionable behavioral insights, Sugawara’s research addresses the challenge of robots interpreting complex human dynamics in shared spaces. Their work is particularly relevant for applications in assistive robotics, smart environments, and autonomous navigation, where understanding human intent is essential. Sugawara’s contributions continue to inspire further exploration into motion-based interaction models, offering a promising pathway for more responsive and context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1